Xinxin Zhuo, Mengyuan Niu, Ruizhe Wang, Junyan Yang, Qiao Wang
arXiv 10 Apr 2026 · Computers and Society
arXiv:2604.19798 · PDF · DOI · OpenAlex · Extracted main text
Micro-scale street-level economic assessment is fundamental for precision spatial resource allocation. While Street View Imagery (SVI) advances urban sensing, existing approaches remain semantically superficial and overlook brand hierarchy heterogeneity and structural recession. To address this, we propose a visual-semantic and field-based spatiotemporal framework, operationalized via the Street Economic Vitality Index (SEVI). Our approach integrates physical and semantic streetscape parsing through instance segmentation of signboards, glass interfaces, and storefront closures. A dual-stage VLM-LLM pipeline standardizes signage into global hierarchies to quantify a spatially smoothed brand premium index. To overcome static SVI limitations, we introduce a temporal lag design using Location-Based Services (LBS) data to capture realized demand. Combined with a category-weighted Gaussian spillover model, we construct a three-dimensional diagnostic system covering Commercial Activity, Spatial Utilization, and Physical Environment. Experiments based on time-lagged geographically weighted regression across eight tidal periods in Nanjing reveal quasi-causal spatiotemporal heterogeneity. Street vibrancy arises from interactions between hierarchical brand clustering and mall-induced externalities. High-quality interfaces show peak attraction during midday and evening, while structural recession produces a lagged nighttime repulsion effect. The framework offers evidence-based support for precision spatial governance.
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| Reference | Intensity | Mentions | Sections | Main text | |
|---|---|---|---|---|---|
| 1 | Sevtsuk, Andres (2014) Location and agglomeration of retail and food services: The case of Somerville, MA | 0.928 | 4 | 4 | 100% |
| 2 | Jiang, Yinghong and Han, Yun and Liu, Mengyang and Ye, Yu (2022) Street vitality and built environment features: A data-informed approach from fourteen Chinese cities | 0.843 | 3 | 3 | 100% |
| 3 | Long, Ying and Liu, Lun (2016) How green are the streets? An analysis for central city of Beijing using Google Street View | 0.843 | 3 | 3 | 100% |
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| 7 | Mehta, Vikas (2009) Look closely: The hedonic value of walkable streets | 0.644 | 2 | 2 | 100% |
| 8 | Nanjing Municipal Bureau of Planning and Natural Resources (2024) Territorial and Spatial Master Plan of Nanjing (2021–2035) | 0.644 | 2 | 2 | 100% |
| 9 | Xu, Yuhan and Ma, Xiaosu (2024) Assessing urban street vitality through visual and auditory perception: A case study of historic urban area in Guangzhou, China | 0.644 | 2 | 2 | 100% |
| 10 | Ye, Yu and Richards, Daniel and Lu, Yi and Song, Xiaoqing and Zhuang… (2019) Measuring daily accessed street greenery: A human-scale approach for informing better urban planning | 0.644 | 2 | 2 | 100% |
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